Author

Mingxuan Zhu

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Jul 2026

WarmTuner: Program-Specific Warm Starts for Compiler Autotuning via Offline-to-Online Reinforcement Learning

WarmTuner is an offline-to-online reinforcement learning framework that turns historical records into a program-conditioned policy that predicts each flag's setting over the full flag space and remains adaptable on the target program and significantly outperforming the compared techniques.

Tianlu Qiao, Mingxuan Zhu, Ze-Yu Sun et al. · arXiv.org · 0 citations